451 to 475 of 1,142 Permanent Data Science Jobs

Role An established retailer is hiring a Power BI Developer into their finance team. This role plays a crucial part in delivering data-driven insights to key operational and commercial stakeholders. You will work on a variety of projects focused on modernising reporting, enabling self-service analytics, and contributing … development of a gold-standard medallion architecture. Key Responsibilities Develop and maintain Power BI reports and dashboards Build robust data models and perform data ingestion within Power BI Design and implement ETL processes to support reporting needs Create DAX measures and calculated columns for business intelligence solutions Enable ...

Lead Data Scientist - Pricing & Personalisation (11-month FTC, Hybrid London) Intro: An established, consumer-facing brand is hiring a Lead Data Scientist for an 11-month maternity cover. This is a rare chance to shape the future of pricing, revenue optimisation and personalisation across a high-profile digital … loyalty and rewards business.? The opportunity: You'll lead a small, ambitious data science team, owning the design and delivery of machine learning and optimisation models that drive dynamic pricing, customer intelligence and personalised experiences. You will be the day-to-day technical authority, partnering closely with Product ...

Lead Data Scientist - Pricing & Personalisation (11-month FTC, Hybrid London) Intro: An established, consumer-facing brand is hiring a Lead Data Scientist for an 11-month maternity cover. This is a rare chance to shape the future of pricing, revenue optimisation and personalisation across a high-profile digital … loyalty and rewards business.? The opportunity: You'll lead a small, ambitious data science team, owning the design and delivery of machine learning and optimisation models that drive dynamic pricing, customer intelligence and personalised experiences. You will be the day-to-day technical authority, partnering closely with Product ...

Description Join a team where innovation meets impact. As a Senior Data Scientist , you will help drive the bank's adoption of Generative AI by leveraging Large Language Models (LLMs) to solve business problems, enhance customer experiences, and streamline internal operations. This role is ideal for someone with strong … tools to solve real-world problems across the bank, including summarization, classification, information extraction, and conversational AI. Source, clean, and prepare structured and unstructured data for model input and evaluation. Conduct exploratory data analysis and apply statistical techniques to support model evaluation and refinement. Collaborate with cross-functional ...

operations, and procedures. Reviews complex regulatory and customer requirements and evaluates impact to company products and services. Leads analysis of regulatory and certification technical data for completeness and alignment to applicable regulatory and contractual requirements. Leads development of a compliance statement for the airworthiness of aerospace systems and products. … Everett, WA. Basic Qualifications (Required Skills and Experience): 9+ years of related work experience or an equivalent combination of education and experience Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

Experimental Data Engineer - Advanced Engineering Start-Up - Oxfordshire We have an incredible opportunity for an Experimental Data Engineer to join one of the UK's most exciting venture-backed deep-tech start-ups. This fast growing company is redefining the future of high-performance engineered systems and advanced … materials, combining world-class engineering with cutting edge data science, proprietary software, and additive manufacturing. Innovation here isn't theoretical - it's hands-on, tested, and built into the next generation of advanced products. In this role you'll work alongside exceptional engineers, metallurgists, and software developers ...

approximately 1,800 students is seeking a Digital Strategy & Information Manager to provide strategic leadership for all aspects of digital development, IT Systems, Data Governance and Compliance. As well as ensuring that the school is proactive in keeping abreast with technological developments (e.g. AI and process automation). … days per week, Monday-Friday. As Digital Strategy & Information Manager, you will: Provide strategic leadership for all aspects of digital development, IT systems, data governance and compliance. Line manage the IT services technical staff and lead a cross-school digital strategy to ensure systems are secure, scalable, aligned ...

Lead Data Scientist Salary: £115,000 - £125,000 Location: London/Hybrid Data Idols are partnered with a leading technology distributor that is continuing to invest heavily in data. They are looking for a Lead Data Scientist who can act as the senior technical expert within … team, someone who delivers high-impact models, sets technical standards, and leads complex projects through to production. The Opportunity As a Lead Data Scientist, you'll be the go-to technical authority, taking ownership of challenging modelling work and driving end-to-end delivery. You'll work deeply hands ...

Description Join a team where innovation meets impact. As a Senior Data Scientist , you will help drive the bank's adoption of Generative AI by leveraging Large Language Models (LLMs) to solve business problems, enhance customer experiences, and streamline internal operations. This role is ideal for someone with strong … tools to solve real-world problems across the bank, including summarization, classification, information extraction, and conversational AI. Source, clean, and prepare structured and unstructured data for model input and evaluation. Conduct exploratory data analysis and apply statistical techniques to support model evaluation and refinement. Collaborate with cross-functional ...

Description Join a team where innovation meets impact. As a Senior Data Scientist , you will help drive the bank's adoption of Generative AI by leveraging Large Language Models (LLMs) to solve business problems, enhance customer experiences, and streamline internal operations. This role is ideal for someone with strong … tools to solve real-world problems across the bank, including summarization, classification, information extraction, and conversational AI. Source, clean, and prepare structured and unstructured data for model input and evaluation. Conduct exploratory data analysis and apply statistical techniques to support model evaluation and refinement. Collaborate with cross-functional ...

xperience in developing software using Object Oriented principles 3+ years of e xperience working in a team environment Preferred Qualifications: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, computer science, computer ...

/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code (IaC). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer … science Excellent problem-solving skills and the ability to think critically and strategically. Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment. Experience in industrial engineering or process optimization is highly desirable Experience with AWS or Azure GovCloud Security+ certification Travel: 10% Drug ...